RRepoGEO

REPOGEO REPORT · LITE

utkusen/sast-skills

Default branch main · commit db52227e · scanned 6/3/2026, 6:58:08 AM

GitHub: 656 stars · 30 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface utkusen/sast-skills, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify purpose as an AI SAST scanner

    Why:

    CURRENT
    # LLM SAST Skills
    
    A collection of agent skills that turn your LLM coding assistant into a fully functional SAST scanner to find vulnerabilities in your codebase. Works natively with Claude Code, Codex, Opencode, Cursor and any other assistant that supports agent skills. No third-party tools required.
    COPY-PASTE FIX
    ## LLM SAST Skills: An AI-Powered SAST Scanner for Your Codebase
    
    This repository offers a collection of agent skills that transform your LLM coding assistant (e.g., Claude Code, Codex, Opencode, Cursor) into a fully functional Static Application Security Testing (SAST) scanner. It enables your AI to autonomously identify vulnerabilities in your codebase, providing an integrated, no-third-party-tool solution for developers and security professionals.
  • mediumtopics#2
    Add more specific topics for AI-powered SAST tools

    Why:

    CURRENT
    ai-security, claude, claude-code, sast
    COPY-PASTE FIX
    ai-security, claude, claude-code, sast, llm-sast, ai-sast, code-security, vulnerability-scanner, agent-skills
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/utkusen/sast-skills

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface utkusen/sast-skills
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Veracode Static Analysis
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Veracode Static Analysis · recommended 2×
  2. GitHub Copilot · recommended 1×
  3. GitHub Advanced Security · recommended 1×
  4. CodeQL · recommended 1×
  5. ChatGPT Enterprise · recommended 1×
  • CATEGORY QUERY
    How can I leverage my AI coding assistant for static application security testing?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. GitHub Advanced Security
    3. CodeQL
    4. ChatGPT Enterprise
    5. Checkmarx CxSAST
    6. Veracode Static Analysis
    7. SonarQube
    8. Google Gemini
    9. Copilot Chat
    10. ChatGPT
    11. Claude

    AI recommended 11 alternatives but never named utkusen/sast-skills. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for an integrated SAST solution that uses my existing AI development environment.
    you: not recommended
    AI recommended (in order):
    1. GitHub Advanced Security (GHAS)
    2. GitLab Ultimate/Gold with Static Application Security Testing (SAST)
    3. Snyk Code
    4. Checkmarx One (SAST)
    5. Veracode Static Analysis

    AI recommended 5 alternatives but never named utkusen/sast-skills. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of utkusen/sast-skills?
    pass
    AI named utkusen/sast-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts utkusen/sast-skills in production, what risks or prerequisites should they evaluate first?
    pass
    AI named utkusen/sast-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo utkusen/sast-skills solve, and who is the primary audience?
    pass
    AI named utkusen/sast-skills explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite